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{
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"# Housing Market"
]
},
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"### Introduction:\n",
"\n",
"This time we will create our own dataset with fictional numbers to describe a house market. As we are going to create random data don't try to reason of the numbers.\n",
"\n",
"### Step 1. Import the necessary libraries"
]
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"### Step 2. Create 3 differents Series, each of length 100, as follows: \n",
"1. The first a random number from 1 to 4 \n",
"2. The second a random number from 1 to 3\n",
"3. The third a random number from 10,000 to 30,000"
]
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"### Step 3. Let's create a DataFrame by joinning the Series by column"
]
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"### Step 4. Change the name of the columns to bedrs, bathrs, price_sqr_meter"
]
},
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"### Step 5. Create a one column DataFrame with the values of the 3 Series and assign it to 'bigcolumn'"
]
},
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{
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"source": [
"### Step 6. Ops it seems it is going only until index 99. Is it true?"
]
},
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"### Step 7. Reindex the DataFrame so it goes from 0 to 299"
]
},
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"execution_count": null,
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